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The proliferation of harmful content on online platforms is a major societal problem, which comes in many different forms including hate speech, offensive language, bullying and harassment, misinformation, spam, violence, graphic content,…

In this work, we provide an in-depth analysis of collusive entities on YouTube fostered by various blackmarket services. Following this, we propose models to detect three types of collusive YouTube entities - videos seeking collusive likes,…

Social and Information Networks · Computer Science 2021-08-11 Hridoy Sankar Dutta , Mayank Jobanputra , Himani Negi , Tanmoy Chakraborty

YouTube is a major platform for information and entertainment, but its wide accessibility also makes it attractive for scammers to upload deceptive or malicious content. Prior detection approaches rely largely on textual or statistical…

Cryptography and Security · Computer Science 2026-04-02 Ummay Kulsum , Aafaq Sabir , Abhinaya S. B. , Anupam Das

The detection and identification of toxic comments are conducive to creating a civilized and harmonious Internet environment. In this experiment, we collected various data sets related to toxic comments. Because of the characteristics of…

Computation and Language · Computer Science 2022-03-08 Zhichang Wang , Qipeng Zhu

Sentiment analysis using big data from YouTube videos metadata can be conducted to analyze public opinions on various political figures who represent political parties. This is possible because YouTube has become one of the platforms for…

Computation and Language · Computer Science 2023-09-29 Danendra Athallariq Harya Putra , Arief Purnama Muharram

The abstract outlines the problem of toxic comments on social media platforms, where individuals use disrespectful, abusive, and unreasonable language that can drive users away from discussions. This behavior is referred to as anti-social…

Machine Learning · Computer Science 2023-04-17 K. Poojitha , A. Sai Charish , M. Arun Kuamr Reddy , S. Ayyasamy

Abusive language is a massive problem in online social platforms. Existing abusive language detection techniques are particularly ill-suited to comments containing heterogeneous abusive language patterns, i.e., both abusive and non-abusive…

Computation and Language · Computer Science 2021-05-25 Hongyu Gong , Alberto Valido , Katherine M. Ingram , Giulia Fanti , Suma Bhat , Dorothy L. Espelage

In the last decade we have witnessed the explosive growth of online social networking services (SNSs) such as Facebook, Twitter, RenRen and LinkedIn. While SNSs provide diverse benefits for example, forstering interpersonal relationships,…

Social and Information Networks · Computer Science 2016-05-04 Sihyun Jeong , Giseop Noh , Hayoung Oh , Chong-kwon Kim

We propose a strikingly novel, simple, and effective approach to model online user behavior: we extract and analyze digital DNA sequences from user online actions and we use Twitter as a benchmark to test our proposal. We obtain an incisive…

Social and Information Networks · Computer Science 2020-06-29 Stefano Cresci , Roberto Di Pietro , Marinella Petrocchi , Angelo Spognardi , Maurizio Tesconi

A reputable social media or review account can be a good cover for spamming activities. It has become prevalent that spammers buy/sell such accounts openly on the Web. We call these sold/bought accounts the changed-hands (CH) accounts. They…

Social and Information Networks · Computer Science 2021-06-30 Geli Fei , Shuai Wang , Bing Liu , Leman Akoglu

The proliferation of harmful content shared online poses a threat to online information integrity and the integrity of discussion across platforms. Despite various moderation interventions adopted by social media platforms, researchers and…

Social and Information Networks · Computer Science 2023-04-07 Valerio La Gatta , Luca Luceri , Francesco Fabbri , Emilio Ferrara

The goal of this work is to systematically extract information from hacker forums, whose information would be in general described as unstructured: the text of a post is not necessarily following any writing rules. By contrast, many…

Social and Information Networks · Computer Science 2018-04-16 Joobin Gharibshah , Tai Ching Li , Andre Castro , Konstantinos Pelechrinis , Evangelos E. Papalexakis , Michalis Faloutsos

YouTube is a major social media platform that plays a significant role in digital culture, with content creators at its core. These creators often engage in controversial behaviour to drive engagement, which can foster toxicity. This paper…

Computers and Society · Computer Science 2024-08-02 Thales Bertaglia , Catalina Goanta , Adriana Iamnitchi

Many works related to Twitter aim at characterizing its users in some way: role on the service (spammers, bots, organizations, etc.), nature of the user (socio-professional category, age, etc.), topics of interest , and others. However, for…

Computation and Language · Computer Science 2016-08-01 Jean-Valère Cossu , Vincent Labatut , Nicolas Dugué

Comment sections below online news articles enjoy growing popularity among readers. However, the overwhelming number of comments makes it infeasible for the average news consumer to read all of them and hinders engaging discussions. Most…

Information Retrieval · Computer Science 2020-03-27 Julian Risch , Ralf Krestel

The presence of toxic content has become a major problem for many online communities. Moderators try to limit this problem by implementing more and more refined comment filters, but toxic users are constantly finding new ways to circumvent…

Computation and Language · Computer Science 2018-12-06 Éloi Brassard-Gourdeau , Richard Khoury

Online video-sharing sites such as YouTube are very popular and also used by a lot of people to obtain knowledge and information, also on science, health and technology. Technically they could be valuable tools for the public communication…

Computers and Society · Computer Science 2016-04-19 Joachim Allgaier

Recent years have witnessed a significant increase in the online sharing of medical information, with videos representing a large fraction of such online sources. Previous studies have however shown that more than half of the health-related…

Machine Learning · Computer Science 2019-09-05 Rui Hou , Verónica Pérez-Rosas , Stacy Loeb , Rada Mihalcea

As our reliance on social media platforms and web services increase day by day, exploiters view these platforms as an opportunity to manipulate our thoughts ad actions. These platforms have become an open playground for social bot accounts.…

As the use of social platforms continues to evolve, in areas such as cyber-security and defence, it has become imperative to develop adaptive methods for tracking, identifying and investigating cyber-related activities on these platforms.…

Information Retrieval · Computer Science 2020-06-24 Ruth Ikwu , Panos Louisvieris
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